Spaces:
Sleeping
Sleeping
fix bug in summary generation
Browse files- appStore/rag.py +32 -18
appStore/rag.py
CHANGED
@@ -58,26 +58,40 @@ def run_query(context, label, model_sel_name):
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# Initialize the client, pointing it to one of the available models
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client = InferenceClient(model_sel_name, token=hf_token)
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# Instantiate ChatCompletion as a generator object (stream is set to True)
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chat_completion = client.chat.completions.create(
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# Create an object to store the full chat completion
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completion_result = ChatCompletionResult()
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res_box = st.empty()
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if 'content' in chunk_message:
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completion_result.add_content(chunk_message['content']) # Store the message
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# Add the latest text and merge it with all previous
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result = completion_result.get_full_content()
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res_box.success(result) # Output to response text box
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# Return the stored chat completion object for later use
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return completion_result
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# Initialize the client, pointing it to one of the available models
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client = InferenceClient(model_sel_name, token=hf_token)
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# # Instantiate ChatCompletion as a generator object (stream is set to True)
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# chat_completion = client.chat.completions.create(
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# messages=messages,
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# stream=True
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# )
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# # Create an object to store the full chat completion
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# completion_result = ChatCompletionResult()
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# res_box = st.empty()
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# # Iterate through the streamed output
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# for chunk in chat_completion:
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# # Extract the object containing the text
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# if chunk.choices is not None:
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# chunk_message = chunk.choices[0].delta
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# if 'content' in chunk_message:
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# completion_result.add_content(chunk_message['content']) # Store the message
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# # Add the latest text and merge it with all previous
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# result = completion_result.get_full_content()
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# res_box.success(result) # Output to response text box
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# Use streaming text generation
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response_stream = client.text_generation(prompt, stream=True, max_new_tokens=512)
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completion_result = ChatCompletionResult()
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res_box = st.empty()
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for chunk in response_stream:
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completion_result.add_content(chunk)
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result = completion_result.get_full_content()
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res_box.success(result)
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return completion_result
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# # Return the stored chat completion object for later use
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# return completion_result
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