tarekfer8 commited on
Commit
ba0af9a
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1 Parent(s): e6c97d1

Update app.py

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Files changed (1) hide show
  1. app.py +9 -7
app.py CHANGED
@@ -7,7 +7,9 @@ from djezzy import load_data,mot_cle,pip,vector_db
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  For more information on `huggingface_hub` Inference API support, please check the docs: https://huggingface.co/docs/huggingface_hub/v0.22.2/en/guides/inference
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  """
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  client = InferenceClient("HuggingFaceH4/zephyr-7b-beta")
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-
 
 
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  def respond(
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  message,
@@ -28,6 +30,8 @@ def respond(
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  messages.append({"role": "user", "content": message})
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  response = ""
 
 
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  for message in client.chat_completion(
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  messages,
@@ -44,12 +48,10 @@ def respond(
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  """
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  For information on how to customize the ChatInterface, peruse the gradio docs: https://www.gradio.app/docs/chatinterface
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  """
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- tableau_de_mots=mot_cle("mots_clés.txt")
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- mots_a_verifier = tableau_de_mots
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- docs_text, docs_embeddings = load_data()
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- question={"role": "user", "content": message}
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- prompt=pip(question,docs_text, docs_embeddings,mots_a_verifier,vector_db)
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- print(prompt)
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  demo = gr.ChatInterface(
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  respond,
 
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  For more information on `huggingface_hub` Inference API support, please check the docs: https://huggingface.co/docs/huggingface_hub/v0.22.2/en/guides/inference
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  """
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  client = InferenceClient("HuggingFaceH4/zephyr-7b-beta")
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+ tableau_de_mots=mot_cle("mots_clés.txt")
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+ mots_a_verifier = tableau_de_mots
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+ docs_text, docs_embeddings = load_data()
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  def respond(
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  message,
 
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  messages.append({"role": "user", "content": message})
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  response = ""
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+ prompt=pip(message,docs_text, docs_embeddings,mots_a_verifier,vector_db)
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+ message=prompt
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  for message in client.chat_completion(
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  messages,
 
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  """
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  For information on how to customize the ChatInterface, peruse the gradio docs: https://www.gradio.app/docs/chatinterface
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  """
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+
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+ #question={"role": "user", "content": message}
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+ #prompt=pip(question,docs_text, docs_embeddings,mots_a_verifier,vector_db)
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+ #print(prompt)
 
 
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  demo = gr.ChatInterface(
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  respond,