Spaces:
Sleeping
Sleeping
UPDATE: New Endpoints
Browse files
app.py
CHANGED
@@ -48,7 +48,7 @@ async def addPDFData(vectorstore: str, pdf: UploadFile = File(...)):
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currentCount = df[(df["username"] == username) & (df["chatbotname"] == chatbotname)]["charactercount"][0]
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newCount = currentCount + len(text)
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if newCount < 400000:
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-
client.table("ConversAI_ChatbotInfo").update({"charactercount": newCount}).eq("username", username).eq("chatbotname", chatbotname).execute()
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return addDocuments(text = text, vectorstore = vectorstore)
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else:
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return {
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@@ -63,7 +63,7 @@ async def addText(vectorstore: str, text: str):
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currentCount = df[(df["username"] == username) & (df["chatbotname"] == chatbotname)]["charactercount"][0]
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newCount = currentCount + len(text)
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if newCount < 400000:
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-
client.table("ConversAI_ChatbotInfo").update({"charactercount": newCount}).eq("username", username).eq("chatbotname", chatbotname).execute()
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return addDocuments(text = text, vectorstore = vectorstore)
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else:
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return {
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@@ -82,7 +82,7 @@ async def addWebsite(vectorstore: str, websiteUrl: str):
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currentCount = df[(df["username"] == username) & (df["chatbotname"] == chatbotname)]["charactercount"][0]
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newCount = currentCount + len(text)
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if newCount < 400000:
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client.table("ConversAI_ChatbotInfo").update({"charactercount": newCount}).eq("username", username).eq("chatbotname", chatbotname).execute()
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return addDocuments(text = text, vectorstore = vectorstore)
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else:
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return {
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currentCount = df[(df["username"] == username) & (df["chatbotname"] == chatbotname)]["charactercount"][0]
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newCount = currentCount + len(text)
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if newCount < 400000:
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+
client.table("ConversAI_ChatbotInfo").update({"charactercount": str(newCount)}).eq("username", username).eq("chatbotname", chatbotname).execute()
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return addDocuments(text = text, vectorstore = vectorstore)
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else:
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return {
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currentCount = df[(df["username"] == username) & (df["chatbotname"] == chatbotname)]["charactercount"][0]
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newCount = currentCount + len(text)
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if newCount < 400000:
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+
client.table("ConversAI_ChatbotInfo").update({"charactercount": str(newCount)}).eq("username", username).eq("chatbotname", chatbotname).execute()
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return addDocuments(text = text, vectorstore = vectorstore)
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else:
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return {
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currentCount = df[(df["username"] == username) & (df["chatbotname"] == chatbotname)]["charactercount"][0]
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newCount = currentCount + len(text)
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if newCount < 400000:
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+
client.table("ConversAI_ChatbotInfo").update({"charactercount": str(newCount)}).eq("username", username).eq("chatbotname", chatbotname).execute()
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return addDocuments(text = text, vectorstore = vectorstore)
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else:
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return {
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