Delete app.py

app.py

@@ -1,77 +0,0 @@
-import gradio as gr
-import requests
-import os 
-import json
-
-API_URL = "https://api-inference.huggingface.co/models/bigscience/bloom"
-headers = {"Authorization": f"Bearer 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"}
-
-def translate(prompt_ , from_lang, to_lang, input_prompt = "translate this", seed = 42):
-    
-
-    prompt =  f"To say \"{prompt_}\" in {to_lang}, you would say" 
-    print(prompt)
-    if len(prompt) == 0:
-        prompt = input_prompt 
-
-    json_ = {
-            "inputs": prompt,
-            "parameters": {
-                            "top_p": 0.9,
-                            "top_k": 100,
-                            "temperature": 1.1,
-                            "max_new_tokens": 250,
-                            "return_full_text": True,
-                            "do_sample": True,
-                            "num_beams": 3,
-                            "seed": seed,
-                            "repetition_penalty": 3.0,
-                          }, 
-          "options": {
-              "use_cache": True,
-              "wait_for_model": True,
-                     },
-        }
-    response = requests.post(API_URL,  headers=headers, json=json_)
-    print(f"Response  is : {response}")
-    output = json.loads(response.content.decode("utf-8"))#response.json()
-    print(f"output is : {output}") 
-    #output = json.loads(response.content.decode("utf-8"))
-    output_tmp = output[0]['generated_text']
-    print(f"output_tmp is: {output_tmp}")
-    
-    solution = output_tmp.split(f"\n{to_lang}:")[0]  
-
-
-    if '\n\n' in solution:
-        final_solution = solution.split("\n\n")[0] 
-    else:
-        final_solution = solution
-        
-    return final_solution
-
-demo = gr.Blocks()
-
-with demo:
-    gr.Markdown("<h1><center>Bloom Translation</center></h1>")
-
-    with gr.Row():
-        from_lang = gr.Dropdown(['English', 'Spanish', 'Hindi' , 'Bangla'], 
-                                value='English', 
-                                label='select From language : ')
-    with gr.Row():
-        to_lang = gr.Dropdown(['English', 'Spanish', 'Hindi'], 
-                              value='Hindi', 
-                              label= 'select to Language : ')
-
-    input_prompt = gr.Textbox(label="Enter the sentence : ", 
-                            value=f"Please write the text here :",
-                            lines=6)
-
-    generated_txt = gr.Textbox(lines=3)
-
-    b1 = gr.Button("translate")
-    b1.click(translate,inputs=[ input_prompt, from_lang, to_lang], outputs=generated_txt) 
-    
-demo.launch(enable_queue=True, debug=True)
-