Update app.py

app.py

@@ -9,10 +9,15 @@ For more information on `huggingface_hub` Inference API support, please check th
 client = InferenceClient("HuggingFaceH4/zephyr-7b-beta")
 
 
-
+tableau_de_mots=mot_cle("mots_clés.txt")
+mots_a_verifier = tableau_de_mots
+docs_text, docs_embeddings = load_data()
+question=str(message)
+prompt=pip(question,docs_text, docs_embeddings,mots_a_verifier,vector_db)
+print(prompt)
 
 def respond(
-    message,
+    prompt,
     history: list[tuple[str, str]],
     system_message,
     max_tokens,
@@ -27,7 +32,7 @@ def respond(
         if val[1]:
             messages.append({"role": "assistant", "content": val[1]})
 
-    messages.append({"role": "user", "content": message})
+    messages.append({"role": "user", "content": prompt})
 
     response = ""
 
@@ -49,7 +54,7 @@ For information on how to customize the ChatInterface, peruse the gradio docs: h
 tableau_de_mots=mot_cle("mots_clés.txt")
 mots_a_verifier = tableau_de_mots
 docs_text, docs_embeddings = load_data()
-question="give me the advantage of djezzy legend for 2500 DA ?"
+question=stt(message)
 prompt=pip(question,docs_text, docs_embeddings,mots_a_verifier,vector_db)
 print(prompt)