Spaces:
Running
Running
Nathan Butters
commited on
Commit
•
3a0c83a
1
Parent(s):
46f839b
Fix chat output
Browse files- .gitignore +1 -0
- app.py +2 -2
- helpers/chat.py +58 -41
.gitignore
CHANGED
@@ -164,3 +164,4 @@ cython_debug/
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# Other
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tempDir/picture.png
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# Other
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tempDir/picture.png
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app.py
CHANGED
@@ -51,7 +51,7 @@ if picture is not None:
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with open(os.path.join("tempDir","picture.png"),"wb") as f:
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f.write(picture.getbuffer())
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img_url = f"https://huggingface.co/spaces/butterswords/MM_Math_Helper/resolve/main/tempDir/picture.png"
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mmChat(img_url)
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-
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else:
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basicChat()
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with open(os.path.join("tempDir","picture.png"),"wb") as f:
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f.write(picture.getbuffer())
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img_url = f"https://huggingface.co/spaces/butterswords/MM_Math_Helper/resolve/main/tempDir/picture.png"
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#mmChat(img_url)
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guidedMM(st.session_state.systemPrompt, img_url)
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else:
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basicChat()
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helpers/chat.py
CHANGED
@@ -17,31 +17,65 @@ def hf_stream(model_name: str, messages: dict):
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for chunk in stream:
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chunk.choices[0].delta.content, end=""
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def hf_generator(model,prompt,data):
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{
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"type": "image_url",
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"image_url": {
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"url": data
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}
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completion = client.chat.completions.create(
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model=model,
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messages=messages,
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max_tokens=500
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)
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-
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def basicChat():
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# Accept user input and then writes the response
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@@ -80,7 +114,7 @@ def mmChat(data):
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with st.chat_message(st.session_state.model):
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logger.info(f"Message to {st.session_state.model}: {st.session_state.messages[-1]}")
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response = st.
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st.session_state.model,
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prompt,
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data))
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@@ -96,34 +130,17 @@ def guidedMM(sysChoice:str, data):
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if prompt := st.chat_input("How may I help you learn math today?"):
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# Add user message to chat history
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st.session_state.messages.append([
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{
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"role": "user",
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"content": [
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{
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"type": "text",
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"text": prompt
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},
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{
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"type": "image_url",
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"image_url": {
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"url": data
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}
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}
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]
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}
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])
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logger.info(st.session_state.messages[-2:])
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# Display user message in chat message container
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with st.chat_message("user"):
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st.markdown(prompt)
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with st.chat_message(st.session_state.model):
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logger.info(f"Message to {st.session_state.model}: {st.session_state.messages[-1]}")
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response = st.
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st.session_state.model,
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))
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st.session_state.messages.append({"role": "assistant", "content": response})
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logger.info(st.session_state.messages[-1])
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for chunk in stream:
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chunk.choices[0].delta.content, end=""
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def hf_generator(model,prompt,data,system=None):
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if system:
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messages = [
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{
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"role": "system",
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"content": [
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{
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"type": "text",
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"text": system
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}
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]
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},
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{
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"role": "user",
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"content": [
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{
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"type": "text",
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"text": prompt
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},
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{
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"type": "image_url",
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"image_url": {
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"url": data
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}
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}
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]
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}
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]
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else:
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messages = [
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{
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"role": "user",
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"content": [
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{
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"type": "text",
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"text": prompt
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},
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{
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"type": "image_url",
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"image_url": {
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"url": data
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}
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}
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]
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}
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]
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completion = client.chat.completions.create(
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model=model,
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messages=messages,
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max_tokens=500
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)
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response = completion.choices[0].message.content
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logger.info({"role": "assistant", "content": response})
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st.session_state.messages.append({"role": "assistant", "content": response})
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return completion.choices[0].message.content
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def basicChat():
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# Accept user input and then writes the response
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with st.chat_message(st.session_state.model):
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logger.info(f"Message to {st.session_state.model}: {st.session_state.messages[-1]}")
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response = st.write(hf_generator(
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st.session_state.model,
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prompt,
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data))
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if prompt := st.chat_input("How may I help you learn math today?"):
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# Add user message to chat history
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st.session_state.messages.append({"role": "user", "content": prompt,"images":[data]})
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# Display user message in chat message container
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with st.chat_message("user"):
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st.markdown(prompt)
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with st.chat_message(st.session_state.model):
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logger.info(f"Message to {st.session_state.model}: {st.session_state.messages[-1]}")
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response = st.write(hf_generator(
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st.session_state.model,
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prompt,
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data,
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system
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))
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