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Update app.py
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app.py
CHANGED
@@ -45,22 +45,25 @@ def format_search_results(data):
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result = ""
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if 'knowledgeGraph' in data:
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kg = data['knowledgeGraph']
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result += f"### {kg.get('title', '')}\n"
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result += f"*{kg.get('type', '')}*\n\n"
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result += f"{kg.get('description', '')}\n\n"
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if 'organic' in data:
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result += "### Résultats principaux:\n"
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for item in data['organic'][:3]:
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result += f"- **{item['title']}**\n"
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result += f" {item['snippet']}\n"
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result += f" [Lien]({item['link']})\n\n"
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if 'peopleAlsoAsk' in data:
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result += "### Questions fréquentes:\n"
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for item in data['peopleAlsoAsk'][:2]:
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result += f"- **{item['question']}**\n"
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result += f" {item['snippet']}\n\n"
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@@ -126,28 +129,16 @@ if prompt := st.chat_input("Hey?"):
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formatted_results = format_search_results(web_results)
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prompt = f"""Question: {prompt}\n\nRésultats de recherche web:\n{formatted_results}\n\nPourrais-tu analyser ces informations et me donner une réponse complète?"""
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with st.chat_message("assistant"):
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# Send message to chat with streaming
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if uploaded_gemini_file:
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response = st.session_state.chat.send_message([uploaded_gemini_file, "\n\n", prompt], stream=True)
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else:
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response = st.session_state.chat.send_message(prompt, stream=True)
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# Process the streaming response
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for chunk in response:
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if chunk.text:
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response_text += chunk.text
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# Update the message placeholder with the accumulated response
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message_placeholder.markdown(response_text + "▌")
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# Remove the cursor and display final response
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message_placeholder.markdown(response_text)
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except Exception as e:
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st.error(f"Erreur lors de l'envoi du message : {e}")
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result = ""
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# Knowledge Graph
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if 'knowledgeGraph' in data:
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kg = data['knowledgeGraph']
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result += f"### {kg.get('title', '')}\n"
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result += f"*{kg.get('type', '')}*\n\n"
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result += f"{kg.get('description', '')}\n\n"
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# Organic Results
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if 'organic' in data:
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result += "### Résultats principaux:\n"
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for item in data['organic'][:3]: # Limit to top 3 results
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result += f"- **{item['title']}**\n"
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result += f" {item['snippet']}\n"
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result += f" [Lien]({item['link']})\n\n"
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# People Also Ask
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if 'peopleAlsoAsk' in data:
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result += "### Questions fréquentes:\n"
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for item in data['peopleAlsoAsk'][:2]: # Limit to top 2 questions
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result += f"- **{item['question']}**\n"
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result += f" {item['snippet']}\n\n"
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formatted_results = format_search_results(web_results)
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prompt = f"""Question: {prompt}\n\nRésultats de recherche web:\n{formatted_results}\n\nPourrais-tu analyser ces informations et me donner une réponse complète?"""
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# Send message to Gemini
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if uploaded_gemini_file:
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response = st.session_state.chat.send_message([uploaded_gemini_file, "\n\n", prompt])
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else:
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response = st.session_state.chat.send_message(prompt)
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print(response.text)
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# Display assistant response
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with st.chat_message("assistant"):
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st.markdown(response.text)
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except Exception as e:
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st.error(f"Erreur lors de l'envoi du message : {e}")
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