Update app.py
Browse files
app.py
CHANGED
@@ -63,8 +63,8 @@ def load_file(file_name):
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content = file.read()
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return content
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def
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st.title("Memory Flag System")
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client = Client("awacke1/Arxiv-Paper-Search-And-QA-RAG-Pattern")
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@@ -73,7 +73,7 @@ def main():
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search_source = st.selectbox("Search Source", ["Semantic Search - up to 10 Mar 2024", "Arxiv Search - Latest - (EXPERIMENTAL)"])
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llm_model = st.selectbox("LLM Model", ["mistralai/Mixtral-8x7B-Instruct-v0.1", "mistralai/Mistral-7B-Instruct-v0.2", "google/gemma-7b-it", "None"])
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if st.button("Search"):
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result = client.predict(
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search_query,
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top_n_results,
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@@ -1216,6 +1216,9 @@ def StreamMedChatResponse(topic):
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def arxivmain(query):
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prompt = query
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with st.expander("Prompts π", expanded=True):
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example_input = st.text_input("Enter your prompt text:", value=prompt, help="Enter text to get a response.")
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if st.button("Run Prompt", help="Click to run."):
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try:
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@@ -1385,7 +1388,6 @@ if st.button("Clear Query Parameters", key='ClearQueryParams'):
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# 18. Run AI Pipeline
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if __name__ == "__main__":
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whisper_main()
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main()
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content = file.read()
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return content
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def MemoryFlagSystem(query):
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st.title("βΆοΈ Memory Flag System")
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client = Client("awacke1/Arxiv-Paper-Search-And-QA-RAG-Pattern")
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search_source = st.selectbox("Search Source", ["Semantic Search - up to 10 Mar 2024", "Arxiv Search - Latest - (EXPERIMENTAL)"])
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llm_model = st.selectbox("LLM Model", ["mistralai/Mixtral-8x7B-Instruct-v0.1", "mistralai/Mistral-7B-Instruct-v0.2", "google/gemma-7b-it", "None"])
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if st.button("π Search"):
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result = client.predict(
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search_query,
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top_n_results,
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def arxivmain(query):
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prompt = query
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with st.expander("Prompts π", expanded=True):
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MemoryFlagSystem(query)
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example_input = st.text_input("Enter your prompt text:", value=prompt, help="Enter text to get a response.")
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if st.button("Run Prompt", help="Click to run."):
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try:
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# 18. Run AI Pipeline
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if __name__ == "__main__":
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whisper_main()
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