Spaces:
Runtime error
Runtime error
Update app.py
Browse files
app.py
CHANGED
@@ -47,55 +47,68 @@ def bot_streaming(message, history, together_api_key, max_new_tokens=250, temper
|
|
47 |
|
48 |
messages = [{"role": "system", "content": prompt}]
|
49 |
|
50 |
-
# Build the conversation history for the API
|
51 |
-
for idx, (user_msg, assistant_msg) in enumerate(history):
|
52 |
-
|
53 |
-
|
54 |
-
|
55 |
-
|
56 |
-
|
57 |
-
|
58 |
-
|
59 |
-
|
60 |
-
|
61 |
-
|
62 |
-
|
63 |
-
|
64 |
-
|
65 |
-
|
66 |
|
67 |
# Prepare the current message
|
68 |
content = []
|
69 |
user_text = ""
|
70 |
|
71 |
try:
|
72 |
-
|
73 |
-
|
74 |
-
|
75 |
-
|
76 |
-
|
77 |
-
|
78 |
-
# Handle image input
|
79 |
-
if 'files' in message and len(message['files']) > 0:
|
80 |
-
file_info = message['files'][0]
|
81 |
-
if isinstance(file_info, dict) and 'path' in file_info:
|
82 |
-
image_path = file_info['path']
|
83 |
-
elif isinstance(file_info, str):
|
84 |
-
image_path = file_info
|
85 |
-
else:
|
86 |
-
raise ValueError("Invalid file information provided.")
|
87 |
-
|
88 |
-
# Encode the image to base64
|
89 |
-
image_base64 = encode_image(image_path)
|
90 |
-
content.append({
|
91 |
"type": "image_url",
|
92 |
-
"image_url": {
|
93 |
-
|
94 |
-
|
95 |
-
|
96 |
-
|
97 |
-
|
98 |
-
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
99 |
except Exception as e:
|
100 |
# If there's an error processing the input, append it to history and yield
|
101 |
error_message = f"An error occurred while processing your input: {str(e)}"
|
@@ -125,20 +138,21 @@ def bot_streaming(message, history, together_api_key, max_new_tokens=250, temper
|
|
125 |
for chunk in stream:
|
126 |
# Extract the content from the API response
|
127 |
chunk_content = chunk.choices[0].delta.content or ""
|
|
|
128 |
response += chunk_content
|
129 |
-
# Update the last assistant message in history
|
130 |
-
if history:
|
131 |
-
|
132 |
-
|
133 |
-
else:
|
134 |
-
|
135 |
-
|
136 |
-
|
137 |
-
|
138 |
-
if not response:
|
139 |
-
|
140 |
-
|
141 |
-
|
142 |
|
143 |
except Exception as e:
|
144 |
# Handle exceptions from the API call
|
|
|
47 |
|
48 |
messages = [{"role": "system", "content": prompt}]
|
49 |
|
50 |
+
# # Build the conversation history for the API
|
51 |
+
# for idx, (user_msg, assistant_msg) in enumerate(history):
|
52 |
+
# # Append user messages
|
53 |
+
# messages.append({
|
54 |
+
# "role": "user",
|
55 |
+
# "content": [
|
56 |
+
# {"type": "text", "text": user_msg}
|
57 |
+
# ]
|
58 |
+
# })
|
59 |
+
# # Append assistant messages
|
60 |
+
# messages.append({
|
61 |
+
# "role": "assistant",
|
62 |
+
# "content": [
|
63 |
+
# {"type": "text", "text": assistant_msg}
|
64 |
+
# ]
|
65 |
+
# })
|
66 |
|
67 |
# Prepare the current message
|
68 |
content = []
|
69 |
user_text = ""
|
70 |
|
71 |
try:
|
72 |
+
content.append({
|
73 |
+
"role": "user",
|
74 |
+
"content": [
|
75 |
+
{"type": "text", "text": message["text"]},
|
76 |
+
{
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
77 |
"type": "image_url",
|
78 |
+
"image_url": {
|
79 |
+
"url": f"data:image/png;base64,{image_base64}",
|
80 |
+
},
|
81 |
+
},
|
82 |
+
],
|
83 |
+
}
|
84 |
+
|
85 |
+
# if isinstance(message, dict):
|
86 |
+
# # Handle text input
|
87 |
+
# if 'text' in message and message['text']:
|
88 |
+
# user_text = message['text']
|
89 |
+
# content.append({"type": "text", "text": user_text})
|
90 |
+
|
91 |
+
# # Handle image input
|
92 |
+
# if 'files' in message and len(message['files']) > 0:
|
93 |
+
# file_info = message['files'][0]
|
94 |
+
# if isinstance(file_info, dict) and 'path' in file_info:
|
95 |
+
# image_path = file_info['path']
|
96 |
+
# elif isinstance(file_info, str):
|
97 |
+
# image_path = file_info
|
98 |
+
# else:
|
99 |
+
# raise ValueError("Invalid file information provided.")
|
100 |
+
|
101 |
+
# # Encode the image to base64
|
102 |
+
# image_base64 = encode_image(image_path)
|
103 |
+
# content.append({
|
104 |
+
# "type": "image_url",
|
105 |
+
# "image_url": {"url": f"data:image/png;base64,{image_base64}"}
|
106 |
+
# })
|
107 |
+
# user_text += "\n[User uploaded an image]"
|
108 |
+
# else:
|
109 |
+
# # If message is a string
|
110 |
+
# user_text = message
|
111 |
+
# content.append({"type": "text", "text": user_text})
|
112 |
except Exception as e:
|
113 |
# If there's an error processing the input, append it to history and yield
|
114 |
error_message = f"An error occurred while processing your input: {str(e)}"
|
|
|
138 |
for chunk in stream:
|
139 |
# Extract the content from the API response
|
140 |
chunk_content = chunk.choices[0].delta.content or ""
|
141 |
+
print(chunk.choices[0].delta.content or "", end="", flush=True)
|
142 |
response += chunk_content
|
143 |
+
# # Update the last assistant message in history
|
144 |
+
# if history:
|
145 |
+
# history[-1][1] = response
|
146 |
+
# yield history
|
147 |
+
# else:
|
148 |
+
# # If history is somehow empty, append the response
|
149 |
+
# history.append(["", response])
|
150 |
+
# yield history
|
151 |
+
|
152 |
+
# if not response:
|
153 |
+
# # If no response was generated, notify the user
|
154 |
+
# history[-1][1] = "No response generated. Please try again."
|
155 |
+
# yield history
|
156 |
|
157 |
except Exception as e:
|
158 |
# Handle exceptions from the API call
|