Synced repo using 'sync_with_huggingface' Github Action

app.py

@@ -558,29 +558,82 @@ async def on_reaction_add(reaction, user):    # ctx = await bot.get_context(reac
 
 
 #---------------------------------------------------------------------------------------------------------------------------- 
-chathistory = None
 
+# command 1 = creates thread, name = {ctx.author}
+# on_message = 
+
+# custom path based on name
 
-falcon_chats = []
+chathistory = None
+falcon_users = []
 falcon_threads = []
+falcon_chats = [] # 
+
+falcon_id = 0
+
+falcon_dictionary = {}
 
 @bot.command()
 async def falconprivate(ctx):
+    #todo
+    #spinning icon while loading
+    #finished icon
     try:
-        global falcon_chats
+        global falcon_users
         global falcon_threads
+        global falcon_chats
+        global falcon_dictionary
         if ctx.channel.id == 1116089829147557999: # initial thread creation inside #falcon
-            if ctx.author.id not in falcon_chats: # create a new one
+            if ctx.author.id not in falcon_users: # create a new one
                 thread = await ctx.message.create_thread(name=f'{ctx.author}')
-                falcon_chats = [ctx.author.id] + falcon_chats
+                falcon_users = [ctx.author.id] + falcon_users
                 falcon_threads = [thread.id] + falcon_threads
                 await thread.send(f"Thread created")
-
-            elif ctx.author.id in falcon_chats:
+                
+                # initial generation here
+                chathistory = falconclient.predict( 
+                        fn_index=5
+                ) # []
+                instructions = "The following is a conversation between a highly knowledgeable and intelligent AI assistant, called Falcon, and a human user, called User. In the following interactions, User and Falcon will converse in natural language, and Falcon will answer User's questions. Falcon was built to be respectful, polite and inclusive. Falcon was built by the Technology Innovation Institute in Abu Dhabi. Falcon will never decline to answer a question, and always attempts to give an answer that User would be satisfied with. It knows a lot, and always tells the truth. The conversation begins."
+                job = falconclient.submit(prompt, chathistory, instructions, 0.8, 0.9, fn_index=1)  # This is not blocking, similar to run_in_executor (but better)
+                while job.done() == False: 
+                    status = job.status() # could be spammy, let's test anyways
+                    print(status)
+                else:
+                    file_paths = job.outputs()
+                    full_generation = file_paths[-1] # tmp12345678.json
+                    unique_file = "{}{}".format(ctx.author.id, ".json") # could use ID, more robust
+                with open(full_generation, 'r') as file:
+                    data = json.load(file)
+                    output_text = data[-1][-1] # we output this as the bot
+                falcon_dictionary[ctx.author.id] = full_generation # 1234567890: tmp12345678.json
+                print(output_text)
+                await ctx.reply(f"{output_text}")     
+                
+            elif ctx.author.id in falcon_users:
                 await ctx.reply(f"{ctx.author.mention}, you already have an existing conversation! ")
  
         if ctx.channel.id in falcon_threads: # subsequent chatting inside threads of #falcon
             await ctx.reply(f"inside thread, only {ctx.author} is allowed to chat here")
+            # post all other generations here
+            chathistory = falcon_dictionary[ctx.author.id]
+            
+            instructions = "The following is a conversation between a highly knowledgeable and intelligent AI assistant, called Falcon, and a human user, called User. In the following interactions, User and Falcon will converse in natural language, and Falcon will answer User's questions. Falcon was built to be respectful, polite and inclusive. Falcon was built by the Technology Innovation Institute in Abu Dhabi. Falcon will never decline to answer a question, and always attempts to give an answer that User would be satisfied with. It knows a lot, and always tells the truth. The conversation begins."
+            job = falconclient.submit(prompt, chathistory, instructions, 0.8, 0.9, fn_index=1)  # This is not blocking, similar to run_in_executor (but better)
+            while job.done() == False: 
+                status = job.status() # could be spammy, let's test anyways
+                print(status)
+            else:
+                file_paths = job.outputs()
+                full_generation = file_paths[-1] # tmp12345678.json
+                unique_file_2 = "{}{}".format(ctx.author.id, ".json") # could use ID, more robust
+            with open(full_generation, 'r') as file:
+                data = json.load(file)
+                output_text = data[-1][-1] # we output this as the bot
+            falcon_dictionary[ctx.author.id] = full_generation 
+            
+            print(output_text)
+            await ctx.reply(f"{output_text}")                
             
     except Exception as e:
         print(f"Error: {e}")