added files

pages/🦙_Alpaca.py

@@ -0,0 +1,169 @@
+##### `🦙_Alpaca.py`
+##### Alpaca Model
+##### https://github.com/seemanne/llamacpypy
+##### https://github.com/shaunabanana/llama.py
+##### Please reach out to [email protected] for any questions
+#### Loading needed Python libraries
+import streamlit as st
+#from llamacpypy import Llama
+import llamacpp
+from llama_cpp import Llama
+import os
+import subprocess
+
+
+
+
+#### Streamlit initial setup
+st.set_page_config(
+  page_title = "🦙 Alpaca",
+  page_icon = "images/Logo.png",
+  layout = "centered",
+  initial_sidebar_state = "expanded"
+)
+
+
+
+
+#### Functions of the Python Wrapper
+def llama_stream(
+        prompt = '',
+        skip_prompt = True,
+        trim_prompt = 0,
+        executable = 'pages/llama.cpp/main',
+        model = 'models/7B/ggml-model-q4_0.bin',
+        threads = 4,
+        temperature = 0.7,
+        top_k = 40,
+        top_p = 0.5,
+        repeat_last_n = 256,
+        repeat_penalty = 1.17647,
+        n = 4096,
+        interactive = False,
+        reverse_prompt = "User:"
+):
+    command = [
+        executable,
+        '-m', model,
+        '-t', str(threads),
+        '--temp', str(temperature),
+        '--top_k', str(top_k),
+        '--top_p', str(top_p),
+        '--repeat_last_n', str(repeat_last_n),
+        '--repeat_penalty', str(repeat_penalty),
+        '-n', str(n),
+        '-p', prompt
+    ]
+    if interactive:
+        command += ['-i', '-r', reverse_prompt]
+    
+    process = subprocess.Popen(
+        command,
+        stdin = subprocess.PIPE,
+        stdout = subprocess.PIPE,
+        stderr = subprocess.PIPE,
+    )
+    
+    token = b''
+    generated = ''
+    while True:
+        token += process.stdout.read(1)
+        if token:  # neither empty string nor None
+            try:
+                decoded = token.decode('utf-8')
+                
+                trimmed_prompt = prompt
+                if trim_prompt > 0:
+                    trimmed_prompt = prompt[:-trim_prompt]
+                prompt_finished = generated.startswith(trimmed_prompt)
+                reverse_prompt_encountered = generated.endswith(reverse_prompt)
+                if not skip_prompt or prompt_finished:
+                    yield decoded
+                if interactive and prompt_finished and reverse_prompt_encountered:
+                    user_input = input()
+                    process.stdin.write(user_input.encode('utf-8') + b'\n')
+                    process.stdin.flush()
+                
+                generated += decoded
+                token = b''
+            except UnicodeDecodeError:
+                continue
+        elif process.poll() is not None:
+            return
+
+
+def llama(
+        prompt = '',
+        stream = False,
+        skip_prompt = False,
+        trim_prompt = 0,
+        executable = 'pages/llama.cpp/main',
+        model = 'models/7B/ggml-model-q4_0.bin',
+        threads = 4,
+        temperature = 0.7,
+        top_k = 40,
+        top_p = 0.5,
+        repeat_last_n = 256,
+        repeat_penalty = 1.17647,
+        n = 4096,
+        interactive = False,
+        reverse_prompt = "User:"
+):
+    streamer = llama_stream(
+        prompt = prompt,
+        skip_prompt = skip_prompt,
+        trim_prompt = trim_prompt,
+        executable = executable,
+        model = model,
+        threads = threads,
+        temperature = temperature,
+        top_k = top_k,
+        top_p = top_p,
+        repeat_last_n = repeat_last_n,
+        repeat_penalty = repeat_penalty,
+        n = n,
+        interactive = interactive,
+        reverse_prompt = reverse_prompt
+    )
+    if stream:
+        return streamer
+    else:
+        return ''.join(list(streamer))
+
+
+
+### Python Wrapper (functions above
+#text = []
+#for token in llama(prompt = 'What is your purpose?', repeat_penalty = 1.05, skip_prompt = False, interactive = False):
+#    print(token, end = '', flush = True)
+#    text.append(token)
+#st.subheader('Debug')
+#st.experimental_show(text[0])
+#st.experimental_show(text[1])
+#st.subheader('Answer')
+#st.write(''.join(text))
+
+
+
+### llamacpypy
+#llama = Llama(model_name = 'models/7B/ggml-model-q4_0.bin', warm_start = True)
+#llama.load_model()
+#var = llama.generate("This is the weather report, we are reporting a clown fiesta happening at backer street. The clowns ")
+#st.write(var)
+
+
+
+### llamacpp
+#model_path = "./models/7B/ggml-model-q4_0.bin"
+#params = llamacpp.gpt_params(model_path, 4096, 40, 0.1, 0.7, 2.0)
+#model = llamacpp.PyLLAMA(model_path, params)
+#text = model.predict("Hello, I'm a llama.", 10)
+#st.write(text)
+
+
+
+### Llama cpp
+llm = Llama(model_path="models/7B/ggml-model-q4_0.bin")
+output = llm("Q: Name the planets in the solar system? A: ", max_tokens = 32, stop = ["Q:", "\n"], echo = True)
+st.write(output)
+        

requirements.txt

@@ -15,3 +15,6 @@ text_generation
 datasets
 audio2numpy
 pydub
+llamacpp
+llamacpypy
+llama-cpp-python