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Update app.py
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app.py
CHANGED
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@@ -9,7 +9,6 @@ import json
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import groq
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import os
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-
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google_api_key = os.getenv('google_search')
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API_URL = "https://blavken-flowiseblav.hf.space/api/v1/prediction/fbc118dc-ec00-4b59-acff-600648958be3"
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api_key = os.getenv('groq')
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@@ -27,20 +26,16 @@ custom_css = """
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}
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"""
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-
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def perplexica_search(payloads):
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client = Client("mgokg/PerplexicaApi")
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result = client.predict(
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prompt=f"{payloads}",
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optimization_mode="balanced",
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api_name="/question"
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)
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#print(result)
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return result
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def query(payload):
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response = requests.post(API_URL, json=payload)
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return response.json()
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@@ -48,11 +43,7 @@ def google_search(payloads):
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output = query({
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"question": f"{payloads}",
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})
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print(output)
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#return result_text
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# Formuliere die Antwort
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#search_query = f"{payloads} antworte kurz und knapp. antworte auf deutsch. du findest die antwort hier:\n {output}"
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#result = predict(search_query)
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texte=""
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for o in output:
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texte +=o
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@@ -63,13 +54,11 @@ scheme = """
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"""
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def llama(messages):
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client = Client("mgokg/selenium-screenshot-gradio")
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result = client.predict(
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message=f"{messages}",
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api_name="/predict"
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)
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#print(result)
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return result
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client = Client("AiActivity/AI-Assistant")
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@@ -79,7 +68,6 @@ def llama(messages):
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)
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print(result)
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def llm(message):
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message = f'return a json object with the keys: name,email,phone,website \n the values can be found here, leave blank if value is not available:\n {message} \n return a json object only. no text, no explanaition'
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try:
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@@ -146,22 +134,12 @@ def process_ort(ort):
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#return links_text
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vereine = []
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for verein in links_text:
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prompt=f"{verein}",
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result = llama(prompt)
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#return ergebnis
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#result = perplexica_search(prompt)
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#print(result)
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#json_data = llama(result)
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#vereine.append(json_data)
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vereine.append(result)
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#jsondata = qwen(vereine)
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#return jsondata
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#data = json.loads(vereine)
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#df = pd.DataFrame(vereine)
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#return df
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return vereine
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for verein in links_text:
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@@ -182,9 +160,7 @@ def process_ort(ort):
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contact_detailes = impressum_div.text
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json_object = llm(contact_detailes)
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"""
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#vereine.append(contact_detailes)
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vereine.append(result)
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#vereine.append(json_object)
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#dicts = [json.loads(item) for item in vereine]
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#df = pd.DataFrame(dicts)
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#return df
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import groq
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import os
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google_api_key = os.getenv('google_search')
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API_URL = "https://blavken-flowiseblav.hf.space/api/v1/prediction/fbc118dc-ec00-4b59-acff-600648958be3"
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api_key = os.getenv('groq')
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}
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"""
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def perplexica_search(payloads):
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client = Client("mgokg/PerplexicaApi")
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result = client.predict(
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prompt=f"{payloads}",
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optimization_mode="balanced",
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api_name="/question"
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)
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return result
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def query(payload):
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response = requests.post(API_URL, json=payload)
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return response.json()
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output = query({
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"question": f"{payloads}",
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})
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#search_query = f"{payloads} antworte kurz und knapp. antworte auf deutsch. du findest die antwort hier:\n {output}"
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texte=""
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for o in output:
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texte +=o
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"""
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def llama(messages):
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client = Client("mgokg/selenium-screenshot-gradio")
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result = client.predict(
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message=f"{messages}",
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api_name="/predict"
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)
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return result
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client = Client("AiActivity/AI-Assistant")
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)
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print(result)
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def llm(message):
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message = f'return a json object with the keys: name,email,phone,website \n the values can be found here, leave blank if value is not available:\n {message} \n return a json object only. no text, no explanaition'
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try:
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#return links_text
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vereine = []
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for verein in links_text:
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prompt=f"{verein}",
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result = llama(prompt)
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vereine.append(result)
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#data = json.loads(vereine)
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#df = pd.DataFrame(vereine)
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return vereine
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for verein in links_text:
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contact_detailes = impressum_div.text
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json_object = llm(contact_detailes)
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"""
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vereine.append(result)
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#dicts = [json.loads(item) for item in vereine]
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#df = pd.DataFrame(dicts)
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#return df
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